Drug-Target Interactions: Prediction Methods and Applications

被引：26

作者：

Anusuya, Shanmugam ^{[1
]}

Kesherwani, Manish ^{[2
]}

Priya, K. Vishnu ^{[1
]}

Vimala, Antonydhason ^{[1
]}

Shanmugam, Gnanendra ^{[3
]}

Velmurugan, Devadasan ^{[2
,4
]}

Gromiha, M. Michael ^{[1
]}

机构：

[1] Indian Inst Technol Madras, Bhupat & Jyoti Mehta Sch Biosci, Dept Biotechnol, Madras 600036, Tamil Nadu, India

[2] Univ Madras, Ctr Adv Study Crystallog & Biophys, Guindy Campus, Madras 600025, Tamil Nadu, India

[3] Mahendra Arts & Sci Coll, Dept Biotechnol, Kalippatti, Tamil Nadu, India

[4] Univ Madras, BIF, Guindy Campus, Madras 600025, Tamil Nadu, India

来源：

CURRENT PROTEIN & PEPTIDE SCIENCE | 2018年 / 19卷 / 06期

关键词：

Drug-target interaction; machine learning; supervised method; semi-supervised method; drug repurposing; poly-pharmacology; similarity based method; feature based method; drug design; LARGE-SCALE PREDICTION; INTERACTION NETWORKS; PROTEASE INHIBITORS; CHEMOGENOMIC FEATURES; BIOLOGICAL EVALUATION; MYCOBACTERIUM-LEPRAE; CHEMICAL-STRUCTURE; BINDING-AFFINITY; IDENTIFICATION; DISCOVERY;

D O I：

10.2174/1389203718666161108091609

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Identifying the interactions between drugs and target proteins is a key step in drug discovery. This not only aids to understand the disease mechanism, but also helps to identify unexpected therapeutic activity or adverse side effects of drugs. Hence, drug-target interaction prediction becomes an essential tool in the field of drug repurposing. The availability of heterogeneous biological data on known drug-target interactions enabled many researchers to develop various computational methods to decipher unknown drug-target interactions. This review provides an overview on these computational methods for predicting drug-target interactions along with available webservers and databases for drug-target interactions. Further, the applicability of drug-target interactions in various diseases for identifying lead compounds has been outlined.

引用

页码：537 / 561

页数：25

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